HR & RECRUITING
Anonymize Take-Home Submissions on Dropbox Upload
Watches a Dropbox intake folder for new candidate take-home files, strips names and identifying metadata, assigns a blind code, and files the clean copy into a reviewer folder.
How it runs
The automated pipeline, trigger to output.
- TriggerNew file in Dropbox intake folderDropbox
- ActionGenerate blind code and log name mapping in NotionNotion
- ActionStrip author metadata and name fragmentsOpenAI
- ActionRename to blind code and upload to reviewer folderDropbox
- OutputPost new candidate code to recruiting SlackSlack
What it does
Turns raw candidate take-home submissions into bias-free review packets the moment they land. When a candidate uploads their assignment to a Dropbox intake folder, this workflow generates an anonymous candidate code, removes personal identifiers from filenames and document metadata, and drops the scrubbed copy into a separate reviewer folder that hiring managers can open without ever seeing who wrote it.
When to use it
Use it when candidates submit take-home work directly to a shared Dropbox folder and you want every reviewer to evaluate the work blind. Ideal for engineering, design, or analyst hiring loops where the original filename (often a person's name) leaks identity before the work is even read.
How it works
- 1A new file in the Dropbox intake folder triggers the run.
- 2The workflow generates a unique blind code (e.g. CAND-7QF2) and records the real-name-to-code mapping in a private Notion table only recruiting can see.
- 3An OpenAI step scrubs author metadata and any name fragments from the document body.
- 4The cleaned file is renamed to the blind code and uploaded to the Dropbox reviewer folder.
- 5A confirmation message posts to the recruiting Slack channel with the new code.
Set it up
What you configure once, before turning it on.
- 1Connect DropboxFiles and folders.
- 2Connect NotionPages, databases, comments.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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